Artificial intelligence for diagnosis of vertebral compression fractures using a morphometric analysis model, based on convolutional neural networks
Problems of Endocrinology2020Vol. 66(5), pp. 48–60
Citations Over Time
A. V. Petraikin, Zhanna Belaya, Arina N. Kiseleva, Z. R. Artyukova, Mikhail Belyaev, Владимир Кондратенко, Maxim Pisov, A. V. Solovev, А. К. Сморчкова, L. R. Abuladze, Irina N. Kieva, V. A. Fedanov, L. R. Iassin, Д. С. Семенов, Nikita D. Kudryavtsev, Svetlana P. Shchelykalina, V. V. Zinchenko, Е. С. Ахмад, К. А. Сергунова, V. A. Gombolevsky, L. A. Nisovstova, Anton V. Vladzymyrskyy, С. П. Морозов
Abstract
The Comprise-G model demonstrated high diagnostic capabilities in detecting the VFs on CCT images and can be recommended for further validation.
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